ViSTA: A Simple Bridge Extends Visual Alignment to Clinical Time-Series Understanding in Multimodal LLMs
cs.CL, cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- Flamingo: a Visual Language Model for Few-Shot Learning
- LoRA: Low-Rank Adaptation of Large Language Models
- Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- Scaling Laws for Forgetting When Fine-Tuning Large Language Models
- Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
- OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
- MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
- CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
- ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
- ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
- From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?
- CaTS-Bench: Can Language Models Describe Time Series?
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